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Checklist · Exclusive 2026-08-19 8 min read
Data Modeling Standards Starter Checklist
Define naming, model layers, notation, review, versioning, metadata, lineage, reuse, and engineering handover before models diverge across teams.
Use the checklist to establish a minimum viable modeling standard that teams can apply consistently. It is suitable for new governance programmes, tool migrations, or consolidation of independently maintained models.
Decide which rules are mandatory, recommended, or domain-specific, then identify the repository and review workflow that make them enforceable.
Get the resource
Download the checklist immediately and receive the link by email.
What you'll get
- A starter standard for conceptual, logical, and physical models.
- Naming, notation, metadata, and lineage decisions.
- Review, approval, versioning, and exception controls.
- Clear handover expectations for engineering and analytics teams.